Your Location:
Home >
Browse articles >
A Single-Phase Line-Break Fault Detection Method for Active Distribution Networks Based on Improved Support Vector Machine
Power Generation Technology Vol. 47, Issue 1, Pages: 185-194(2026)
New Power System|Updated:2026-05-15
|
A Single-Phase Line-Break Fault Detection Method for Active Distribution Networks Based on Improved Support Vector Machine
- “New breakthrough in distribution network disconnection detection, team integrates multiple electrical features with improved support vector machine, improving accuracy by 8.87% compared to a single criterion, providing a new solution for fault identification”
DOI:10.12096/j.2096-4528.pgt.260117
Revised:2025-07-28
Scan QR Code
18
Views
11
Downloads
1
CSCD
Alert me when the article has been cited
Submit
Related Articles
Distribution Networks Fault Recovery Strategy Fused With Convolutional Neural Networks-Bi-Directional Long Short-Term Memory-Attention Net Load Forecasting
Photovoltaic Output Prediction Based on Improved Long Short-Term Memory Network Using White Shark Optimization Algorithm
Location Detection of False Data Injection Attacks in Power Grid Based on Improved Deep Extreme Learning Machine
Short-Term Wind Power Prediction Method Considering Wind Turbine Operation Status Clustering Under Low-Temperature Conditions
Distributed Power Access and Energy Storage Configuration in Active Distribution Network
Related Author
SHI Pengfei
HOU Shixi
LÜ Zhan
LIN Zhengyu
DING Zekai
CHU Yundi
RONG Zirui
ZHANG Zhenhua
Related Institution
College of Artificial Intelligence and Automation, Hohai University
State Grid Jiangsu Nanjing Electric Power Supply Company
State Grid Jiangsu Electric Power Co., Ltd.
NARI Technology Co., Ltd.
College of Electrical Engineering and New Energy, China Three Gorges University

